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Friday, April 5, 2019

Chemometric Technique to Determine Rice Types

Chemometric Technique to Determine sieve TypesCHAPTER 1INTRODUCTION1.1Back reasonableness of Studyrice (Oryza Sativa) is a type of cereal food in which intimately people consumes. As acereal grain, it is the most widely consumed staple food for a large part of the worlds world population, especially in Asia 1. Rice is perhaps the most remarkable of cultivated crops, for although possessing the roots of a ironic land plant, it flourishes in swamps or under irrigation, and in Asia has produced virtuoso or more crop per annum for centuries (Grist, 1965). Commercially acquirable sift is distributed in different varieties in the market.Classification of harvesting brands and type of products is a very active atomic number 18a for the application of chemometric classification procedures 2. The accustom of specific sensors for characterizing foodstuffs or in this faux pas rice is be replaced by a trend to draw on the wealth of education available from the information provided by current analytical instrumentation. The extraction of useful information from an amount of selective information and the optimal use of this analytical information ar important objectives of chemometrics 3.Since the infrared spectra contain signifi fuckt information nearly all the components of a complex mixture, FTIR is a very powerful and usual technique for investigating the construction of rice components. In association with chemometric treatments such as principal component analysis (PCA), vibrational spectrographic analysis allows classification of foods (rice) to be undertaken without any chemical analysis 2. The briny advantage is that no prior information on the sample is needed since the significant information is extracted during statistical treatment. The spectral information will occasion the experimental data which are analysed by PCA and HCA.1.2Problem StatementResearch on rice bank this date mostly focused on its genome in order to increase the nutritiona l values. An example of product that has made it through this kind of look into is Golden Rice. There is very little research on focvictimization in determination of types of rice using combination of spectroscopy and chemometrics technique let alone combination of infrared Spectroscopy and chemometrics. Due to this, little is known about which or what variable stars is responsible in the types of rice radical when design intuition is applied. Hence, this research is important in identifying what variable is responsible for the grouping of samples.1.3Research ObjectiveThe aim of this study is to apply chemometric technique to determine the types of rice that will be analyze through invisible Spectroscopy in order to assess the potential relationship between the element content and types of rice.1.4Significance of StudyThis study is important to determine the variables that responsible in specialty and variety types of rice. With the combination of Infrared Spectroscopy spectr a of the samples prior to grouping of samples using pattern recognition, this is a quickly manner to come apart rice compared to the use of nuclear magnetic resonance (NMR) spectroscopy with pattern recognition or other instruments.1.5Scope of the ResearchIn this research, type of rice to be samples is based on definition of rices type in Malaysia by Padi Beras Nasional Berhad 4. There are 7 samples to be test which all of them are to acquire at local stores. Analysis of the sample will be done through Fourier Transform Infrared Spectroscopy (FTIR) and pattern recognition which include Principal dowry Analysis (PCA) and Cluster analysis.CHAPTER 2LITERATURE REVIEW2.1Rice in HistoryHumankind advancement in term of social and cultural was partly due to the discovery of agriculture. This development gave a big impact on the way human been living their life by choosing to settle down in one place instead of constantly moving around looking for places with new food sources. archaeo logical evidence put to presenthers all over Asia proposed that rice must be at least eight gigabyte years old, thus eliminating theory that rice was among the first cereal to be cultivated due to general believed that agriculture first started around the Mesopotamian region in the valley between Euphrates and Tigris 5.One of these is related to the sinful concentration of rice production in a small part of the world. Approximately 90% or more of the worlds rice is produced in the relatively tiny area in south, atomic number 34 and northeast Asia which often be refer to as rice country 6. Rice is produced in a wide range of locations and under a variety of climatic conditions, from the wettest areas in the world to the driest deserts. It is produced along Myanmars Arakan Coast, where the growing season records an average of more than 5100mm of rainfall, and at Al Hasa Oasis in Saudi Arabia 5.Rice plays a major role economically, especially in countries where rice is considered a s the main food. This is more veracious in most countries in Asia, because not only they consume rice daily, but as well Asia is the main producer of rice 1. Country like China, India and Thailand have long played major role in the development of rice, economically. The success of the crops not only important to the grower, but also affect the community either directly or indirectly 1.2.2Types of RiceThere are dozens of different ways to classify the scores of types of rice from all over the world, but rice is generally described as be long-, medium- or short-grained 5. These are close to of the most common types youll find in supermarkets andgourmet stores, as well as a few specialty rices that were seeing more and more often. In the world market as well as in Malaysia, much emphasis is placed on grain length and ingenuousness as a criterion of grade and quality. Other factors such as palatability characteristics (appearance, cohesiveness, tenderness and flavor) also constitu te as important considerations in quality grading 4.In Malaysia, the main varieties of rice found in retail outlets are ordinary local and imported white rice, brown unpolished rice and specialty rice such as fragrant rice, Basmati, parboiled and glutinous rice. The main criteria in the classification are length of grain, content of head rice, content of broken rice and milling degree 7.2.3Fourier Transform Infrared Spectroscopy (FTIR)Fourier Transform Infrared Spectroscopy (FTIR) provides specific information about chemical bonding and molecular(a) structure, making it useful for analyzing organic materials and certain inorganic material. It can be utilized to quantitative some components of an unknown mixture. It can be applied to the analysis of solids, liquid and gasses. The term FTIR spectroscopy refers to a middling recent development in the manner in which the data is collected and converted from an interference pattern to a spectrum 8.When the material under investigation i s put into an FTIR spectrometer, it will absorb the radiation emitted and the successful intentness will display the uniqueness or fingerprint of the material under investigation 9.Samples for FTIR can be prepared in multiple ways depending on its physical state. For solid samples, it will be ground into a fine powder with an agate mortar and pestle with an amount of the suspending salt, which usually be KBr due to it being transparent to infrared radiation. This powder is then compressed through a bench top hydraulic press into becoming a thin pellet which can be analyzed 10. Another method to prepare solid samples is by dissolving it in a suitable solvent such as methylene chloride and the solution is dropped onto a salt plate. After the solvent evaporates, a thin-solid picture palace of the compound frame on the plate 11. Meanwhile, liquid samples can be examined directly as a thin film between two sodium chloride plates.2.4ChemometricsThe term chemometrics was coined in the 1 970s and is defined as the chemical checker that uses statistical and mathematical methods for selecting and optimizing analytical and preparative methods, as well as procedures for the analysis and interpretation of data 12.2.4.1Pattern RecognitionThe overall goal of pattern recognition is classification. Developing a classifier from spectral, chromatographic, or integrative data may be desirable for any number of purposes including source identification, presence or absence seizure of disease in a patient or animal from which the sample has been taken, and food quality examen to name just a few 13. The classification step is often accomplished using one of several techniques that are now fairly well established including PCA, HCA, KNN, statistical and regularized discriminant analysis.Techniques of pattern recognition are applicable to data drawn from virtually any physical process. The data may be qualitative, quantitative, or both which is they may be numerical, pictorial, te xtural, linguistic, or any combination thereof. Meanwhile, one of the most important and oft-used data analysis methods is the eyeball technique, Subjective assessment of data patterns has long been a method accepted by many traditional data analyzers. Statistical analysis proceeds slowly by hand, more speedily with hand calculators and can be quite fast with modern computers 14.CHAPTER 3RESEARCH METHODOLOGY3.1SamplesA total of 7 different samples of rice will be use for this study. All of the samples will be obtain from various supermarkets and grocery stores in Johor Bahru and Seremban area. Various brands and types of rice are selected in order to get as much variation as possible.3.2Analysis of SampleSpectra of the rice samples will be acquired using (model number) instrument with KBr disc. The wavelength is set up to range from 4000cm-1 to 400cm-1.3.3SoftwareChemometrics analysis is the main part in this research as the data obtained from spectroscopic analysis will be analyse s so that the important data can be identified and useable information can be deduced from the data. The key to chemometrics is to understand how to perform meaning(prenominal) calculations on data. In most cases these calculations are too complex to do by hand or using a calculator, so it is necessary to use some software. Three softwares will be use for the data analysis as listed in table below.3.4ProceduresCHAPTER 4RESULT4.1Expected ResultIt is pass judgment that Principal Component Analysis (PCA) will reveal multiple grouping due to different types of rice being used as samples. Furthermore, by comparing the score plot with the loading plot, the unknown variable that causing the samples to be group as it is will be identify.REFERENCESCalpe, C. (2006). Rice International commodity profile.Rome fare and Agricultural Organization of the United Nations.Brereton, R. (2009). Introduction. InChemometrics for pattern recognition(pp. 1-24). Chichester, U.K. Wiley.Brereton, R. (2002). Intro. InAn introduction to chemometrics Data analysis for the laboratory and chemical plant(pp. 1-12). impertinent York Wiley.RICE TYPES IN MALAYSIA. (2011). Retrieved October 16, 2014, from http//www.bernas.com.my/index.php/rice-types-in-malaysiaBhattacharya, K. (2011). An Introduction to rice Its Qualities and Mysteries. InRice Quality a Guide To Rice Properties And Analysis.(pp. 1-18). Burlington Elsevier Science.Wong, L. C., Emrus, S. A., Bashir, B. M., Tey, J. Y. (2010, June). Malaysian Padi Rice Industry Applications of Supply Chain Management Approach. In National Rice Conference Swiss garden Golf Resort Lumut(pp. 28-30).Grist D. H. (1986). Tropical Agricultural Series. Rice, 6, 3-12, Longman Group Limited.Introduction to Infrared Spectroscopy. (2011) Fundamentals of Fourier Transform Infrared Spectroscopy, Second Edition (pp. 1-17) CRC Press.King, PL, Ramsey, MS, McMillan, PF, Swayze, G. (2004). Laboratory Fourier transform infrared spectroscopy methods for geologic sa mples. Infrared Spectroscopy in Geochemistry, Exploration Geochemistry and Remote Sensing, Mineralogical Association of Canada, Short Course, 57-91.Hauser, Martin, Oelichmann, Joachim. (1988). A critical comparison of solid sample breeding techniques in infrared spectroscopy. Microchimica Acta, 94(1-6), 39-43.Stuart, Barbara. (2000). Infrared Spectroscopy Kirk-Othmer Encyclopedia of Chemical Technology John Wiley Sons, Inc.Beebe, k.R, Pell, R.J., Seasholtz, M.B. (1998). Chemometrics A realistic Guide. New York. John Wiley Sons, Inc. 61-65.Lavine, B., Workman, J. (2010). Chemometrics.Analytical chemistry,82(12), 4699-4711.Theodiridis, S., Koutroumbas, K. (2006). Pattern Recognition, Third Edition. Amsterdam, Boston. Academic Press. 1.

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